Does ScaleDown support image classification?

Yes, the provided information says ScaleDown can classify text and supported images with custom labels, rubrics, and probability scores. However, the available details do not specify which image formats, size limits, or image task constraints are supported.

How does ScaleDown handle structured extraction?

ScaleDown can extract structured fields and return confidence scores along with source character offsets. This can help teams review where extracted data came from in the original content and assess the reliability of outputs.

Can ScaleDown help reduce AI agent context size?

Yes, ScaleDown includes context compression for query-relevant information before downstream model calls. This may be useful for agent workflows where only the most relevant content should be passed to another model.

Does ScaleDown work with LangChain?

Yes, ScaleDown lists LangChain middleware as one of its integration options. This can make it relevant for developers building AI agents, retrieval workflows, or automated pipelines that use LangChain components.

Last updated: 10/14/2026Last verified: 2026-10-14

ScaleDown Review

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Task-specific AI API for classifying content, extracting structured fields, summarizing documents, and compressing agent context. Text input costs $0.05 per million tokens, supported image input costs $0.15 per million, and output is free; the current launch offer gives new accounts 50 million free tokens.

Paid

What is ScaleDown?

ScaleDown is a task-specific AI API designed for classifying content, extracting structured fields, summarizing documents, and compressing agent context. It supports text input and supported image input, with integrations through HTTP APIs, OpenAI-compatible endpoints for supported tasks, and LangChain middleware. The tool is positioned for developers and teams that need focused AI capabilities inside applications or automated workflows.

Key Features

Classify text and supported images using custom labels, rubrics, and probability scores
Extract structured fields with confidence scores and source character offsets
Summarize documents for downstream use cases and review workflows
Compress query-relevant context before sending data to downstream model calls
Integrate via HTTP APIs for custom application workflows
Use OpenAI-compatible endpoints for supported tasks
Connect with LangChain middleware for AI agent and application pipelines
Output is listed as free according to the provided pricing information

Best For

Developers building classification workflows into apps or internal toolsTeams extracting structured data from unstructured documentsAI agent builders who need context compression before model callsProductivity workflows that require document summarization at scaleApplications that need probability scores, confidence scores, or source offsets for reviewabilityTeams looking for API-based AI features rather than a standalone end-user app

Pricing

ScaleDown uses a paid pricing model. Based on the provided information, text input costs $0.05 per million tokens, supported image input costs $0.15 per million tokens, and output is free. The current launch offer is listed as 50 million free tokens for new accounts.

Pros & Cons

Pros

Focused on practical AI tasks such as classification, extraction, summarization, and context compression
Supports custom labels and rubrics for classification workflows
Provides confidence scores and source character offsets for extracted fields
Offers API-based integration options suitable for developers
OpenAI-compatible endpoints may reduce integration friction for supported tasks
LangChain middleware support is useful for agent and automation workflows
The stated launch offer provides a large free token allocation for new accounts

Cons

Appears to be primarily API-focused, so non-technical users may need developer support
Public information provided here does not include details about data retention, compliance, or security controls
Supported image input is mentioned, but supported image formats and limits are not specified in the provided information
The scope of OpenAI-compatible endpoints is limited to supported tasks and may not cover all use cases
No specific information is provided about service-level agreements, uptime, or enterprise support

Alternatives

OpenAI API

A general-purpose AI API that can support classification, extraction, summarization, and agent workflows with broader model options.

Anthropic Claude API

An alternative for document summarization, structured extraction, and long-context AI workflows through an API.

Google Gemini API

Provides multimodal AI capabilities and developer APIs for text, image, summarization, and structured content tasks.

Cohere

Offers APIs for classification, embeddings, reranking, and enterprise-oriented language AI workflows.

LangChain

A framework for building AI agent and retrieval workflows, relevant for teams focused on context handling and model orchestration.

FAQ

View all ScaleDown alternatives →

Details

Platform

APIWeb

Features

Classify text and images with custom labels, rubrics, and probability scores
Extract structured fields with confidence scores and source character offsets
Summarize documents and compress query-relevant context before downstream model calls
Integrate through HTTP APIs, OpenAI-compatible endpoints for supported tasks, and LangChain middleware

Languages

Known limitations

Requires a ScaleDown account and API key; free launch tokens are a limited offer, not a permanent free plan
Task-specific models do not replace a general-purpose model for open-ended coding, writing, or planning
Compress accepts text context rather than image input in the published pricing matrix
Classification and extraction depend on well-defined labels and rubrics; overlapping categories can produce unreliable results